This past month, Keith and I dusted off our passports and headed north to Vancouver, BC. We had been invited by the International Year of the Salmon, a project launched by the North Pacific Anadromous Fish Commission and the international North Atlantic Salmon Conservation Organization, to present our GeoOptix platform to workshop attendees.
During our presentation, we shared how after more than a decade of building custom data management systems for large fish and wildlife agencies, many of them focused on restoring Pacific Northwest salmon runs, we concluded, “There’s got to be a better way!” We started by defining our design goals: make it easy to use, self-service, secure and reliable, scalable, and extensible. Eighteen months later, our 30-person technology firm is happy to share we did find a better way, and we managed to deliver on those design goals.
The result is a dynamic, API-based data management system in the cloud called GeoOptix. Resource managers can customize and centrally control their programs, projects, methods, sites, measurements, and metrics. Field technicians can more quickly and cost-effectively collect and quality check their data. Analysts can integrate and automate generation of metrics, running of models, and conduct other post-collection analytics. GeoOptix frees up staff time to work on higher order information tasks. Given its infinitely flexible structure for organizing and storing data, it is ideally suited to serve as a central hub for data from multiple programs with datasets spanning multiple years and geographies.
During our presentation, we also highlighted how the Confederated Tribes of the Umatilla Indian Reservation in northeastern Oregon uses GeoOptix to collect and centrally control data from many of its habitat and species monitoring programs. “With GeoOptix, I can set up my survey plans in the morning and have the crew out collecting data in the field that afternoon,” noted Kaylyn Costi, a Fish Biologist from the Umatilla Tribe. Sitka also worked with Kaylyn and her team to tap into the extensibility of the platform – we showed them how to write a few lines of code against GeoOptix’s API that “listens” for new field measurement data and as soon as it arrives, run a job that automatically generates metrics. Kaylyn’s managers use these real-time metrics to track the status and trend of the resources they’re responsible for managing. If you’re interested in learning more about how the Umatillas are using GeoOptix, check out the case study.
While our two-day trek to Canada may have been short, it was full of valuable discussions that we expect will benefit the evolution of GeoOptix. If you’re interested in seeing GeoOptix in action, you can request a personalized demo on the GeoOptix site.